Automated Author ProfileWang, Jinqi
Wang, Jinqi
Current S-Index
Sum of Dataset Indices for all datasets
Average Dataset Index per Dataset
Average Dataset Index per dataset
Total Datasets
Total datasets for this author
Average FAIR Score
Average FAIR Score per dataset
Total Citations
Total citations to the author's datasets
Total Mentions
Total mentions of the author's datasets
S-Index Interpretation
The S-Index (Sharing Index) is a comprehensive metric that represents the cumulative impact of all your datasets. It is calculated as the sum of Dataset Index scores across all your claimed datasets.
What it means:
- A higher S-index indicates greater overall impact of your datasets relative to typical datasets in their fields of research
- The S-Index grows as you add more datasets or as existing datasets gain more citations and mentions
- It provides a single number to track your research data impact over time
Current S-Index: 2.3 (sum of 4 datasets Dataset Index scores)
More information here.
S-Index Over Time
Cumulative Citations Over Time
Cumulative Mentions Over Time
Datasets
Abstract: Premise of the study: Parenchyma is an important cell type in the secondary xylem of angiosperm trees, with considerable variability in its abundance. However, the functional significance of these variations and their roles in plant ecological strategies is poorly understood at both inter-and-intraspecific levels. Methods: For this study, fractions of axial parenchyma cells (AP) and ray parenchyma cells (RP) in xylem tissue were quantified for 156 individuals of 45 tree species along an elevational gradient that spanned 600 m to 1600 m asl in eastern China. The heights of individually sampled trees, as well as environmental factors of each sampling site were also measured. Linear mixed models were employed to assess the relative extent of both intraspecific (within species) and interspecific (between species) variations in parenchyma cells in xylem tissue fractions, as well as identify intraspecific variations along environmental gradients (e.g., temperature and humidity) and tree heights. Key results: The results revealed that interspecific variations explained the large diversity in AP fractions. Conversely, intraspecific variations accounted for ~50% of the overall variations in RP fractions. Further, intraspecific variations in the RP and RAP (total AP and RP fractions) fractions exhibited negative correlations with tree heights but showed no significant relationship with climate. Conclusions: In conclusion, the findings suggested that intraspecific variations in parenchyma cells in xylem tissue fractions were not necessarily an adaptation or acclimation to changes in the environment but were coordinated with tree heights.KEYWORDSclimate gradient, elevation, inter-and-intraspecific variation, parenchyma, tree, woody trait, xylem anatomy
Authors
- Wu, Dan ;
- Zhou, Xinni ;
- Wang, Jinqi ;
- Morris, Hugh ;
- Zhang, Xijin ;
- Song, Kun
Abstract: Premise of the study: Parenchyma is an important cell type in the secondary xylem of angiosperm trees, with considerable variability in its abundance. However, the functional significance of these variations and their roles in plant ecological strategies is poorly understood at both inter-and-intraspecific levels. Methods: For this study, fractions of axial parenchyma cells (AP) and ray parenchyma cells (RP) in xylem tissue were quantified for 156 individuals of 45 tree species along an elevational gradient that spanned 600 m to 1600 m asl in eastern China. The heights of individually sampled trees, as well as environmental factors of each sampling site were also measured. Linear mixed models were employed to assess the relative extent of both intraspecific (within species) and interspecific (between species) variations in parenchyma cells in xylem tissue fractions, as well as identify intraspecific variations along environmental gradients (e.g., temperature and humidity) and tree heights. Key results: The results revealed that interspecific variations explained the large diversity in AP fractions. Conversely, intraspecific variations accounted for ~50% of the overall variations in RP fractions. Further, intraspecific variations in the RP and RAP (total AP and RP fractions) fractions exhibited negative correlations with tree heights but showed no significant relationship with climate. Conclusions: In conclusion, the findings suggested that intraspecific variations in parenchyma cells in xylem tissue fractions were not necessarily an adaptation or acclimation to changes in the environment but were coordinated with tree heights.KEYWORDSclimate gradient, elevation, inter-and-intraspecific variation, parenchyma, tree, woody trait, xylem anatomy
Authors
- Wu, Dan ;
- Zhou, Xinni ;
- Wang, Jinqi ;
- Morris, Hugh ;
- Zhang, Xijin ;
- Song, Kun
Key data for the article ' A Novel Hybrid Learning Framework for Enhanced Flash Flood Identification': true positive rate analysis, flash flood susceptibility TIFF maps, etc.
Authors
- Ma, Meihong ;
- Wang, Yun ;
- Yan, Xiping ;
- Zhao, Gang ;
- Wang, Jinqi ;
- Wu, Jiayi ;
- Liu, Ronghua
Key data for the article ' A Novel Hybrid Learning Framework for Enhanced Flash Flood Identification': true positive rate analysis, flash flood susceptibility TIFF maps, etc.
Authors
- Ma, Meihong ;
- Wang, Yun ;
- Yan, Xiping ;
- Zhao, Gang ;
- Wang, Jinqi ;
- Wu, Jiayi ;
- Liu, Ronghua